The opportunity
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on…
What you'll do
Analyze data to identify risk patterns and inform the design of machine learning models
Build, iterate on, and evaluate models that detect risk and anomalous behavior
Work with product, engineering, legal, and Trust and Safety partners to deliver effective ML solutions
Work with partner teams in Trust & Safety to curate golden label sets at: scale and improve data labeling techniques for model training
Deploy models into production systems, writing backend code as needed to: ensure scalability and reliability, and monitor performance
Document modeling approaches and systems, and apply current machine learning best practices
What they're looking for
- + years of experience in ML engineering or applied ML roles.
- Strong coding skills in Python and fluency in ML frameworks such as PyTorch, JAX, or TensorFlow.
- Experience building performant machine learning systems at scale and have: driven the execution of projects from ideation to production.
- Ability to think from first principles, approaching complex problems with: creativity, clear reasoning, and pragmatic solutions.
